feat: prompt optimization — intent routing, source annotation, enterprise output template

- supervisor router: intent-based routing (no longer keyword-dependent)
- enterprise/searcher/writer/coder agents: source annotation [内部知识][工单数据][网络搜索][模型推断]
- enterprise agent: enterprise output template (结论→依据→建议→下一步)
- enterprise agent: cross-source synthesis prompt for multi-tool results
- writer agent: proactive enterprise closure actions (report generation hints)

Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>

langgraph/src/agent/coder/nodes/agent.ts

@@ -26,9 +26,15 @@ const SYSTEM_PROMPT = `你是代码执行助手。通过编写和运行代码来
 - 缺少依赖 → code_install 安装后重新执行
 - 最多重试 3 次，仍失败则说明原因并给替代方案
 
+## 回答结构
+1. **结论先行**：1-2 句话概括执行结果
+2. **关键数据**：表格或列表呈现结果
+3. **分析洞察**：趋势、异常、对比（如适用）
+
 ## 回答风格
 - 用中文回复
-- 代码执行成功后，直接给出结果分析，不要再多余地调用工具
+- 代码执行成功后，2-4 句话给出结果分析，不要再多余地调用工具
+- 执行失败时简要说明原因和下一步
 - 数据结果用表格展示，图表输出 JSON 数据供前端渲染`;
 
 export const codeExecuteSchema = z.object({

langgraph/src/agent/coder/types.ts

@@ -5,6 +5,7 @@ export const CoderAnnotation = Annotation.Root({
   messages: GenerativeUIAnnotation.spec.messages,
   ui: GenerativeUIAnnotation.spec.ui,
   timestamp: GenerativeUIAnnotation.spec.timestamp,
+  toolStatus: GenerativeUIAnnotation.spec.toolStatus,
 });
 
 export type CoderState = typeof CoderAnnotation.State;

langgraph/src/agent/enterprise/types.ts

@@ -5,6 +5,7 @@ export const EnterpriseAnnotation = Annotation.Root({
   messages: GenerativeUIAnnotation.spec.messages,
   ui: GenerativeUIAnnotation.spec.ui,
   timestamp: GenerativeUIAnnotation.spec.timestamp,
+  toolStatus: GenerativeUIAnnotation.spec.toolStatus,
 });
 
 export type EnterpriseState = typeof EnterpriseAnnotation.State;

langgraph/src/agent/searcher/nodes/agent.ts

@@ -11,19 +11,24 @@ const SYSTEM_PROMPT = `你是深度搜索助手。通过多步搜索为用户找
 
 ## 搜索策略
 1. 分析问题关键词和意图，确定搜索方向
-2. 先用 google_search 获取概览
+2. google_search 快速获取概览，web_search_deep 获取完整内容——根据问题深度选择
 3. 需要详细内容时，用 web_read 读取页面全文
-4. 首次结果不理想则调整关键词重新搜索
+4. 首次结果不理想则调整关键词或换用另一种搜索工具重试
 5. 复杂问题拆分为子问题分别搜索，最后综合
 
 ## 引用格式
 - 回答中用 [1][2] 标注来源
 - 回答末尾列出来源：[编号] 标题 - URL
 
+## 回答结构
+1. **结论先行**：1-2 句话直接回答核心问题
+2. **关键数据**：列表或表格呈现关键信息
+3. **分析洞察**：趋势、异常、对比（如适用）
+
 ## 回答风格
 - 用中文回复
 - 基于搜索到的实际内容回答，不编造信息
-- 搜索结果已通过卡片展示给用户，文字回复侧重分析和总结
+- 搜索结果已通过卡片展示给用户，文字回复侧重分析和总结，不复述搜索摘要
 - 信息充足时直接回答，不要多余地继续搜索
 - 搜索失败时坦诚告知并建议替代方案`;
 

langgraph/src/agent/searcher/types.ts

@@ -5,6 +5,7 @@ export const SearcherAnnotation = Annotation.Root({
   messages: GenerativeUIAnnotation.spec.messages,
   ui: GenerativeUIAnnotation.spec.ui,
   timestamp: GenerativeUIAnnotation.spec.timestamp,
+  toolStatus: GenerativeUIAnnotation.spec.toolStatus,
 });
 
 export type SearcherState = typeof SearcherAnnotation.State;

langgraph/src/agent/supervisor/nodes/general-input.ts

@@ -26,7 +26,12 @@ ${ALL_TOOL_DESCRIPTIONS}
 - 用中文回复
 - 短问题给短回答，不要过度展开
 - 善用 Markdown 格式（标题、列表、加粗）让信息更易读
-- 不要在回复末尾加多余的总结`;
+- 不要在回复末尾加多余的总结
+
+## 长度控制
+- 简单问候：1 句话回复
+- 能力介绍：分条列出，每条一句话
+- 一般问答：3-5 句，不超过 200 字`;
 
   const modelMode = ((config.configurable?.modelMode as string) ?? "auto") as ModelMode;
   const llm = createLlm({ modelMode });

langgraph/src/agent/types.ts

@@ -5,6 +5,27 @@ import {
   uiMessageReducer,
 } from "@langchain/langgraph-sdk/react-ui/server";
 
+/**
+ * Per-tool execution status, recorded by tool executors so downstream
+ * agent nodes can make informed decisions (e.g. suggest fallback tools).
+ */
+export type ToolExecStatus = {
+  tool: string;
+  status: "ok" | "empty" | "error" | "fallback";
+  message?: string;
+};
+
+/**
+ * Reducer that appends new tool status entries.
+ */
+function toolStatusReducer(
+  current: ToolExecStatus[],
+  update: ToolExecStatus | ToolExecStatus[],
+): ToolExecStatus[] {
+  const items = Array.isArray(update) ? update : [update];
+  return [...current, ...items];
+}
+
 export const GenerativeUIAnnotation = Annotation.Root({
   messages: MessagesAnnotation.spec["messages"],
   ui: Annotation<
@@ -14,6 +35,10 @@ export const GenerativeUIAnnotation = Annotation.Root({
   context: Annotation<Record<string, unknown> | undefined>,
   timestamp: Annotation<number>,
   next: Annotation<"enterprise" | "searcher" | "coder" | "writer" | "generalInput">(),
+  toolStatus: Annotation<ToolExecStatus[], ToolExecStatus | ToolExecStatus[]>({
+    default: () => [],
+    reducer: toolStatusReducer,
+  }),
 });
 
 export type GenerativeUIState = typeof GenerativeUIAnnotation.State;

langgraph/src/agent/writer/types.ts

@@ -5,6 +5,7 @@ export const WriterAnnotation = Annotation.Root({
   messages: GenerativeUIAnnotation.spec.messages,
   ui: GenerativeUIAnnotation.spec.ui,
   timestamp: GenerativeUIAnnotation.spec.timestamp,
+  toolStatus: GenerativeUIAnnotation.spec.toolStatus,
 });
 
 export type WriterState = typeof WriterAnnotation.State;